“Evidence of Correlations between Human Partners Based on Systematic Reviews & Meta-Analyses of 22 Traits & UK Biobank Analysis of 133 Traits”, Tanya B. Horwitz, Jared V. Balbona, Katie N. Paulich, Matthew C. Keller2023-08-31 (, , , )⁠:

Positive correlations between mates can increase trait variation and prevalence, as well as bias estimates from genetically informed study designs. While past studies of similarity between human mating partners have largely found evidence of positive correlations, to our knowledge, no formal meta-analysis has examined human partner correlations across multiple categories of traits.

Thus, we conducted systematic reviews and random-effects meta-analyses of human male-female partner correlations across 22 traits commonly studied by psychologists, economists, sociologists, anthropologists, epidemiologists and geneticists. Using Sciencedirect, PubMed and Google Scholar, we incorporated 480 partner correlations from 199 peer-reviewed studies of co-parents, engaged pairs, married pairs and/or co-habitating pairs that were published on or before 16 August 2022. We also calculated 133 trait correlations using up to 79,074 male-female couples in the UK Biobank (UKBB).

Estimates of the 22 mean meta-analysed correlations ranged from rmeta = 0.08 (adjusted 95% CI = 0.03–0.13) for extraversion to rmeta = 0.58 (adjusted 95% CI = 0.50–0.64) for political values, with funnel plots showing little evidence of publication bias across traits. The 133 UKBB correlations ranged from rUKBB = −0.18 (adjusted 95% CI = −0.20, −0.16) for chronotype (being a ‘morning’ or ‘evening’ person) to rUKBB = 0.87 (adjusted 95% CI = 0.86–0.87) for birth year.

Across analyses, political and religious attitudes, educational attainment and some substance use traits showed the highest correlations, while psychological (that is, psychiatric/personality) and anthropometric traits generally yielded lower but positive correlations. We observed high levels of between-sample heterogeneity for most meta-analysed traits, probably because of both systematic differences between samples and true differences in partner correlations across populations.

Figure 1: Point estimates of the mean meta-analysed random-effects partner correlations and UKBB partner correlations for comparable traits. The dark blue points represent the random-effects estimates of the mean meta-analysed correlations for partners, while the red points on the same vertical axis represent the point estimates of the partner correlations for a comparable trait in the UKBB, where applicable. To account for multiple testing, meta-analysed and UKBB correlations are shown with Bonferroni-adjusted 95% CIs (adjusting for 22 and 133 traits, respectively). Table 1 & Supplementary Table 4 include the precise sample size and point estimate/adjusted confidence interval/adjusted p-value and so on for each of these traits in the meta-analysis and UKBB, respectively.

Figure 1 displays the estimates of the mean meta-analysed correlations for all meta-analysed traits and, where applicable, the correlations for comparable traits in the UKBB (see ‘Partner correlations in the UKBB’), along with the adjusted CIs associated with each trait. The estimates of the mean correlations for the meta-analysed traits (rmeta) were greater than zero at the two-tailed, Bonferroni-corrected statistical-significance level for 18 traits, with the remaining 4 estimates being based on only 4 samples each. rmeta was greater than 0.35 for 9 attitudinal, academic and substance-related traits, ranging from rmeta = 0.38 for smoking initiation to rmeta = 0.58 for political values. It is important to note that despite being associated with relatively large point estimates, 3⁄7 substance use traits we meta-analysed did not achieve Bonferroni-corrected statistical-significance. Estimates of mean meta-analysed correlations for anthropometric traits and (non-substance related) disorder traits were all low to moderate (0.15 ≤ rmeta ≤ 0.24), although the estimate for generalized anxiety (rmeta = 0.17, padj > 0.999) was not statistically-significant. The 3 lowest estimates we found were for the Big Five personality traits extraversion (rmeta = 0.08), neuroticism (rmeta = 0.11) and agreeableness (rmeta = 0.11). Point estimates for conscientiousness (rmeta = 0.16) and openness to experience (rmeta = 0.21) were slightly higher (see Table 1 for Bonferroni-adjusted two-tailed p-values, Bonferroni-adjusted 95% CIs and total sample sizes associated with each meta-analysed trait).

Table 1: Results for the random-effects meta-analyses of mating partner pairs across 22 traits.
Figure 2: The UKBB partner correlation point estimates for 133 traits grouped by category. The point estimates on the y-axis represent the estimated partner correlation, along with Bonferroni-adjusted 95% CIs (adjusting for 133 traits), for the corresponding trait on the x-axis. Estimates are based on up to 79,074 pairs; Supplementary Table 4 includes the precise sample size/point estimate for each trait along with the Bonferroni-adjusted p-values associated with the adjusted 95% CIs depicted in this figure. Traits are grouped into 6 categories: health-related, psychological, demographic/family, substance [drug] use, anthropometric and behavioral. Points representing partner correlations for continuous traits (Pearson correlations) are blue; points representing partner correlations for ordinally coded traits (Spearman correlations) are red; points representing partner correlations for dichotomously coded traits (tetrachoric correlations) are light green. Num Dep Episodes, number of depressive episodes; Heel BMD, heel bone mineral density (in the form of a t-score); LDL, direct low-density lipoprotein cholesterol; CRP, C-reactive protein; RBC, red blood cell (erythrocyte) count; DBP, diastolic blood pressure; CPD (all participants), cigarettes per day (includes current, former and never smokers); FEV1 pred percentage, forced expiratory volume in 1 second (FEV1), predicted percentage; PEF, peak expiratory flow; WBC, white blood cell (leucocyte) count; SBP, systolic blood pressure; HDL, high-density lipoprotein cholesterol; CPD (smokers only), cigarettes per day (restricted to current or former smokers); WHR, waist-to-hip ratio; BMR, basal metabolic rate; FIQ, fluid intelligence quotient; FVC, forced vital capacity; Time to First Cig, time to first cigarette.